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Skills/egonex-ai/understand-anything/understand-explain
understand-explain logo

understand-explain

egonex-ai/understand-anything
835 installs79K stars
Run it on Hostinger, 20% off →Your friend gets 20% off too, using this linkFree API →|View on GitHub|Create your own skill →

Installation

npx skills add https://github.com/egonex-ai/understand-anything --skill understand-explain

Summary

Use when you need a deep-dive explanation of a specific file, function, or module in the codebase

SKILL.md

/understand-explain

Provide a thorough, in-depth explanation of a specific code component.

Graph Structure Reference

The knowledge graph JSON has this structure:

  • project — {name, description, languages, frameworks, analyzedAt, gitCommitHash}
  • nodes[] — each has {id, type, name, filePath?, summary, tags[], complexity, languageNotes?}
  • Code node types: file, function, class, module, concept
  • Non-code node types: config, document, service, table, endpoint, pipeline, schema, resource
  • Domain/knowledge node types: domain, flow, step, article, entity, topic, claim, source
  • IDs use the node type as prefix, e.g. file:path, function:path:name, config:path, article:path
  • edges[] — each has {source, target, type, direction, weight}
  • Key types: imports, contains, calls, depends_on, configures, documents, deploys, triggers, contains_flow, flow_step, related, cites
  • layers[] — each has {id, name, description, nodeIds[]}
  • tour[] — each has {order, title, description, nodeIds[]}

How to Read Efficiently

  1. Use Grep to search within the JSON for relevant entries BEFORE reading the full file
  2. Only read sections you need — don't dump the entire graph into context
  3. Node names and summaries are the most useful fields for understanding
  4. Edges tell you how components connect — follow imports and calls for dependency chains

Instructions

  1. Resolve the data directory $UA_DIR. Run UA_DIR=$([ -d .understand-anything ] && echo .understand-anything || echo .ua) — this is the legacy .understand-anything/ when it already exists, otherwise the new .ua/. Check that $UA_DIR/knowledge-graph.json exists. If not, tell the user to run /understand first.
  1. Check graph freshness before using graph-derived context:
  • Read project.gitCommitHash from the graph metadata as GRAPH_COMMIT_RAW. Resolve it as a commit before using it in any Git diff, then compare it with git rev-parse HEAD and inspect project-scoped committed and working-tree changes from the project root:
     GRAPH_COMMIT=$(git rev-parse --verify --end-of-options "${GRAPH_COMMIT_RAW}^{commit}" 2>/dev/null)
     git rev-parse HEAD
     git diff --name-only "$GRAPH_COMMIT" HEAD -- .
     git diff --cached --name-only -- .
     git diff --name-only -- .
     git ls-files --others --exclude-standard -- .
  • The -- . pathspec is required: commits that only touch a sibling monorepo project must not make this graph stale. A hash mismatch alone is not stale when the project diff is empty.
  • Ignore the selected data directory (.ua/ or legacy .understand-anything/) in every command's output because it contains generated graph artifacts, not project source drift.
  • If the committed diff or any working-tree command reports project files, warn before explaining that graph-derived context may omit those changes. Suggest: Run /understand to refresh the graph.
  • Run the commit diff only when GRAPH_COMMIT_RAW resolves successfully. If the graph commit or Git metadata is missing, invalid, or unavailable, give a brief best-effort warning and continue instead of blocking.
  1. Find the target node — use Grep to search the knowledge graph for the component: "$ARGUMENTS"
  • For file paths (e.g., src/auth/login.ts): search for "filePath" matches
  • For function notation (e.g., src/auth/login.ts:verifyToken): search for the function name in "name" fields filtered by the file path
  • Note the exact node id, type, summary, tags, and complexity
  1. Find all connected edges — Grep for the target node's ID in the edges section:
  • "source" matches → things this node calls/imports/depends on (outgoing)
  • "target" matches → things that call/import/depend on this node (incoming)
  • Note the connected node IDs and edge types
  1. Read connected nodes — for each connected node ID from step 4, Grep for those IDs in the nodes section to get their name, summary, and type. This builds the component's neighborhood.
  1. Identify the layer — Grep for the target node's ID in the "layers" section to find which architectural layer it belongs to and that layer's description.
  1. Read the actual source file — Read the source file at the node's filePath for the deep-dive analysis.
  1. Explain the component in context:
  • Its role in the architecture (which layer, why it exists)
  • Internal structure (functions, classes it contains — from contains edges)
  • External connections (what it imports, what calls it, what it depends on — from edges)
  • Data flow (inputs → processing → outputs — from source code)
  • Explain clearly, assuming the reader may not know the programming language
  • Highlight any patterns, idioms, or complexity worth understanding

Score

0–100
65/ 100

Grade

C

Popularity17/30

835 installs — growing adoption. Source repo has 78,797 GitHub stars.

Completeness27/30

Documented: full SKILL.md body, description, one-line install. Missing: category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Understand Explain skill score badge previewScore badge

Markdown

[![Understand Explain skill](https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-explain/badges/score.svg)](https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-explain)

HTML

<a href="https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-explain"><img src="https://www.claudemarket.ai/skills/egonex-ai/understand-anything/understand-explain/badges/score.svg" alt="Understand Explain skill"/></a>

Understand Explain FAQ

How do I install the Understand Explain skill?

Run “npx skills add https://github.com/egonex-ai/understand-anything --skill understand-explain” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Understand Explain skill do?

Use when you need a deep-dive explanation of a specific file, function, or module in the codebase The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Understand Explain skill free?

Yes. Understand Explain is a free, open-source skill published from egonex-ai/understand-anything. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Understand Explain work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Understand Explain works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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